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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 13083
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    Explanations

    entities related to different types of professions or roles within specific contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various groups of people affected by social or economic issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     charm
    -0.66
     fiasco
    -0.65
     indictment
    -0.62
     rumors
    -0.61
     rumours
    -0.60
    bernatorial
    -0.60
     rumor
    -0.59
     wonders
    -0.56
     plea
    -0.56
     sunshine
    -0.55
    POSITIVE LOGITS
     alike
    1.06
    '
    1.06
     themselves
    0.99
    '.
    0.96
     who
    0.94
    pace
    0.93
    hip
    0.92
    folk
    0.90
    paces
    0.88
     irrespective
    0.86
    Activations Density 0.374%

    No Known Activations